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Description: matlab实现的用fisher方法进行分类的任务-achieved using Matlab fisher method for classifying tasks
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Size: 921 |
Author: 李守一 |
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Description: 脱机字符识别:手写数字识别之Fisher线性判别,手写数字识别之模板匹配法,数字识别之神经网络法,细化算法-Offline Character Recognition : handwritten figures identifiable Fisher Linear Discriminant, handwritten figures identifiable template matching method, digital identification neural network, thinning algorithm
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Size: 9011200 |
Author: 丁俊 |
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Description: matlab 利用fisher线形判别方法进行模式识别-Matlab using linear discriminant method for pattern recognition
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Size: 1024 |
Author: 晨涛 |
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Description: 首先采用灰度投影匹配进行全局运动估计和补偿，用以消除背景变化的影响；然后由二次差分抽取中间帧解决遮挡问题，通过Fisher 评价函数结合数学形态学填充得到运动对象分割掩膜，同时消除残余噪声以及平滑边缘。该方法在一定范围内较好地解决了遮挡问题，并能够高效快速地得到比较精确的视频对象。-first used for overall projection matching motion estimation and compensation, in order to remove the impact of changes in background; then by the second difference from the middle frame settlement block, Fisher evaluation function by combining mathematical morphology be filled Moving Object segmentation mask, while eliminating residual noise and edge smoothing. The method in a certain range to help solve the problem of shelter, and to the rapid and efficient access to more precise video objects.
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Size: 303104 |
Author: 李杰 |
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Description: matlab实现的用fisher方法进行分类的任务-achieved using Matlab fisher method for classifying tasks
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Size: 1024 |
Author: 李守一 |
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Description: 基于Fisher准则线性分类器设计
进一步了解分类器的设计概念，能够根据自己的设计对线性分类器有更深刻地认识，理解Fisher准则方法确定最佳线性分界面方法的原理
-Fisher linear classification criteria for classification designed to further understanding of the design concept According to the design of linear classification for a more profound understanding, Fisher understood the criteria to determine the best method of linear interface of the theory
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Size: 16384 |
Author: 飘来的南风 |
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Description: 包括:
手写数字识别之Fisher线性判别
手写数字识别之模板匹配法
数字识别之神经网络法
细化算法-include : Handwritten identification Fisher Linear Discriminant handwritten digital identification template matching identification number of neural network method in Algorithm
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Size: 196608 |
Author: abin |
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Description: 学进一步了解分类器的设计概念，能够根据自己的设计对线性分类器有更深刻地认识，理解Fisher准则方法确定最佳线性分界面方法的原理，以及Lagrande乘子求解的原理。-school with a better understanding of classification of the design concept, According to the design of linear classification for a more profound understanding, Fisher understood the criteria to determine the best method of linear interface of the theory, Lagrande and multiplier for the principle.
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Size: 2048 |
Author: fengzheng |
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Description: 现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。-existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.
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Size: 2048 |
Author: 小弟 |
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Description: 这是用fisher线形判别方法对手写数字进行判别，很有用-fisher linear discriminant method of handwritten figures for the discriminant and useful
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Author: |
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Description: Fisher线性判别是线性分类算法中最基本的一种算法，其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上，再进行分类。本文将用使用matlab实现Fisher线性判别算法，并给出４种阈值选择的方法。-Fisher Linear Discriminant is a linear classification algorithm as a basic algorithm, its basic idea is to d-dimensional space of the samples are projected onto one of the most easily classified projector online, and then classified. This article will use matlab to achieve Fisher Linear Discriminant algorithm, and gives four kinds of threshold selection method.
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Size: 41984 |
Author: yue yao jia |
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Description: 摘要：提出了一种新的说话人识别中特征参数的提取方法*在分别使用傅立叶分析和小波分析得到两组特征
参数之后，进一步利用+,-./0准则进行参数选取，构造了一种新的混合特征参数*在不增加训练和识别时计算
量的同时，结合了傅立叶分析和小波分析两者的优点，具有更好的分类能力*实验结果显示，这种新的混合参数
有效地提高了说话人的识别率，能更好地表征说话人的特征*-Abstract: This paper presents a new kind of speaker recognition in the characteristic parameter extraction method*, respectively, using Fourier analysis and wavelet analysis of two sets of characteristic parameters, the further use of 2B !,-./ 0 criteria for parameter selection, construction A new mixed feature parameters* at no additional training and recognition computation At the same time, a combination of Fourier analysis and wavelet analysis of the advantages of both and has better classification capability* Experimental results show that the new mixing parameters effectively enhance the speaker
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Size: 139264 |
Author: 王功臣 |
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Description: 脱机字符识别，手写数字识别之模板匹配法，数字识别之神经网络法，手写数字识别之Fisher线性判别，基于Fisher准则线性分类器设计 进一步了解分类器的设计概念，能够根据自己的设计对线性分类器有更深刻地认识，理解Fisher准则方法确定最佳线性分界面方法的原理-Offline character recognition, handwritten numeral recognition is template matching, the digital identification of the neural network method, handwritten numeral recognition of Fisher linear discriminant, based on the Fisher linear classifier design guidelines for a better understanding of the concept of classifier design can be according to their own design of the linear classifier has a more profound understanding, understanding the criteria Fisher method to determine the best methods of linear interface principle
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Size: 200704 |
Author: besthb |
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Description: 运用fisher方法进行pca降维和Lda特征提取的人耳识别。-Use fisher method Lda PCA dimensionality reduction and feature extraction to identify the human ear.
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Size: 1024 |
Author: 秦晴 |
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Description: 基于 Fisher判别法的人脸图像识别 ,自己写的-Based on Fisher Discriminant Method for Face Image Recognition, wrote it myself
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Size: 4096 |
Author: wanggong |
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Description: 基于Fisher准则线性分类器设计，理解Fisher准则方法确定最佳线性分界面方法的原理，以及Lagrande乘子求解的原理。-Based on Fisher linear classifier design guidelines, understanding the criteria Fisher method to determine the best linear method of the principle of the interface, as well as solving Lagrande multiplier principle.
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Size: 76800 |
Author: 旭东 |
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Description: 在统计学中，最大后验（英文为Maximum a posteriori，缩写为MAP）估计方法根据经验数据获得对难以观察的量的点估计。它与最大似然估计中的 Fisher 方法有密切关系，但是它使用了一个增大的优化目标，这种方法将被估计量的先验分布融合到其中。所以最大后验估计可以看作是规则化（regularization）的最大似然估计。
-In statistics, the maximum a posteriori (English as a Maximum a posteriori, abbreviated as MAP) estimation method according to empirical data is difficult to obtain right amount of observation point estimate. It is with the maximum likelihood estimation of the Fisher method is closely related to, but it uses a larger optimization goals, this approach would be the estimated amount of integration of prior distribution to it. Therefore, maximum a posteriori estimates can be regarded as regularization (regularization) of the maximum likelihood estimate.
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Size: 1024 |
Author: youxia |
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Description: 在matlab平台中用fisher方法对手写的数字进行分类-Fisher method for handwritten numeral classification
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Size: 289792 |
Author: chkewe |
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Description: 利用Fisher方法和最近邻分类实现两类数据的分类。可直接运行。-The Fisher method and the nearest neighbor classifier to achieve two kinds of data classification. Can be directly run.
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Size: 1024 |
Author: |
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Description: Fisher是多元统计分析的常用的方法之一，判别分析方法可在各种领域得到应用。一般用于确定属于一个可观测量是什么类型。-Fisher method is one of the common methods of multivariate statistical analysis, discriminant analysis method can be applied in various fields. Usually used to determine what type of a observables belonging.
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Size: 5120 |
Author: 郑欢 |
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